Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science
Beginner · Specialization · 3-6 Months
Kompetenzen, die Sie erwerben: Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Software, Statistical Programming, Applied Machine Learning, Computer Vision, Data Analysis, Estimation, Exploratory Data Analysis, General Statistics, Statistical Tests, Statistical Visualization, Algorithms, Business Analysis, Computer Graphics, Computer Programming, Data Management, Data Structures, Feature Engineering, Probability & Statistics, Statistical Analysis, Theoretical Computer Science
Intermediate · Course · 1-4 Weeks
Kompetenzen, die Sie erwerben: Accounting, Big Data, Business Analysis, Business Communication, Communication, Computer Graphics, Data Analysis, Data Management, Entrepreneurship, Financial Analysis, Graphics Software, Leadership and Management, Market Analysis, Marketing, Planning, Sales, Storytelling, Strategy, Strategy and Operations, Supply Chain and Logistics
Mixed · Course · 1-4 Weeks
Kompetenzen, die Sie erwerben: Data Management, Clinical Data Management, Data Model, Extract, Transform, Load, Finance, Leadership and Management, Risk Management, Big Data, Business Analysis, Data Warehousing, Database Design, Databases, SQL, Marketing
Intermediate · Specialization · 3-6 Months
Kompetenzen, die Sie erwerben: Machine Learning, Applied Machine Learning, Data Management, Finance, Leadership and Management, Clinical Data Management, Artificial Neural Networks, Data Analysis, Data Mining, Deep Learning, Machine Learning Algorithms, Payments, Regulations and Compliance, Risk Management, Accounting, Marketing
Beginner · Specialization · 3-6 Months
Kompetenzen, die Sie erwerben: Marketing, Data Analysis, Digital Marketing, Advertising, Business Analysis, Marketing Management, Media Strategy & Planning, Statistical Analysis, Probability & Statistics, Communication, Market Analysis, Experiment, General Statistics, Statistical Programming, Computer Programming, Data Visualization, Market Research, Python Programming, Regression, Statistical Tests, Basic Descriptive Statistics, Brand Management, Data Analysis Software, Data Management, Data Visualization Software, Databases, Forecasting, Probability Distribution, Research and Design, SQL, Spreadsheet Software, Storytelling, Accounting, Computer Networking, Entrepreneurship, Finance, Leadership and Management, Network Security, Operating Systems, Regulations and Compliance, Sales, Security Engineering, Security Strategy, Strategy, Strategy and Operations, System Security, Tableau Software, Web Development
Beginner · Professional Certificate · 3-6 Months
Healthcare Analytics is the branch of analysis that focuses on offering insights into hospital management, patient records, costs, diagnoses, and more. The field utilizes business intelligence tools, such as data visualization, to provide real-time information that can support decisions and deliver actionable insights.
Healthcare Analytics are important for hospital and healthcare managers who rely on a combination of financial and administrative data to aid patient care efforts, better services, and to improve existing procedures.
The U.S. Bureau of Labor Statistics estimates that jobs related to gathering, interpretation, storage, sharing, and utilization of electronic health records and other medical data will grow by more than 15 percent through 2024. That opens opportunities not only for work as a Healthcare Data Analyst, but also as a Data Architect, Implementation Specialist, Care Coordinator, Executive, Chief Experience Officer, Chief Population Health Officer, and other roles that rely heavily on healthcare data.
Healthcare Analytics Courses offered through Coursera provide learners with knowledge on the challenges of healthcare data; methods for selecting and preparing data for analysis; range of healthcare data sources; best practices of obtaining useful information from digital health systems; and more.
Lessons on Healthcare Analytics are taught by Instructors from major universities with experience in Healthcare Data Science, eHealth, and more, and are administered via hands-on projects, video lectures, readings, quizzes, and more.
Any job, internship, or class you've taken at the high school or college level that involved data and analytics can be helpful if you want to learn health care analytics. Studies or jobs in health information can also be beneficial. Other helpful classes include various levels of math, data science, computer science, and biostatistics. Experience that involves data mining, data warehousing, big data, information management, clinical workflow, health information technology, project management, computer programming, software development, or quality assessment can also help prepare you for learning health care analytics. While it's not necessary, if you've worked, volunteered, or interned in a health care setting—such as a hospital, clinic, doctor's office, or government agency that regulates health care—you may better understand health care analytics studies. Former medical coders, health care auditors, and medical record clerks tend to do well when learning about the subject.
Roles in health care analytics require someone who pays close attention to detail and someone who enjoys solving complicated problems. You must work well under pressure, think well on your feet, and have a passion for and interest in the health care field. You'll also need an excellent grasp of basic math skills. The ability to multitask is a must, even when things get a little hectic in your office. This field also requires you to be a team player with good verbal and written communication skills.
If you want a career in the health care field but don't want to work directly with patients, learning health care analytics may be right for you. Specializing in this subject can open up the door for many careers in fields like health care information technology, information systems management, database administration, and data science. If you enjoy working with data and numbers and you are good with computers and technology, you may enjoy learning health care analytics. This can help prepare you for a job at places like hospitals or large physicians' offices, or you may work for a private company or government agency.